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https://gitee.com/milvus-io/milvus.git
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636 lines
22 KiB
C++
636 lines
22 KiB
C++
/*******************************************************************************
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* Copyright 上海赜睿信息科技有限公司(Zilliz) - All Rights Reserved
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* Unauthorized copying of this file, via any medium is strictly prohibited.
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* Proprietary and confidential.
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******************************************************************************/
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#include "DBImpl.h"
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#include "DBMetaImpl.h"
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#include "Log.h"
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#include "EngineFactory.h"
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#include "Factories.h"
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#include "metrics/Metrics.h"
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#include "scheduler/TaskScheduler.h"
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#include "scheduler/context/DeleteContext.h"
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#include "utils/TimeRecorder.h"
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#include "MetaConsts.h"
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#include <assert.h>
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#include <chrono>
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#include <thread>
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#include <iostream>
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#include <cstring>
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#include <cache/CpuCacheMgr.h>
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#include <boost/filesystem.hpp>
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namespace zilliz {
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namespace milvus {
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namespace engine {
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namespace {
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constexpr uint64_t METRIC_ACTION_INTERVAL = 1;
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constexpr uint64_t COMPACT_ACTION_INTERVAL = 1;
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constexpr uint64_t INDEX_ACTION_INTERVAL = 1;
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void CollectInsertMetrics(double total_time, size_t n, bool succeed) {
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double avg_time = total_time / n;
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for (int i = 0; i < n; ++i) {
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server::Metrics::GetInstance().AddVectorsDurationHistogramOberve(avg_time);
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}
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// server::Metrics::GetInstance().add_vector_duration_seconds_quantiles().Observe((average_time));
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if (succeed) {
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server::Metrics::GetInstance().AddVectorsSuccessTotalIncrement(n);
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server::Metrics::GetInstance().AddVectorsSuccessGaugeSet(n);
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}
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else {
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server::Metrics::GetInstance().AddVectorsFailTotalIncrement(n);
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server::Metrics::GetInstance().AddVectorsFailGaugeSet(n);
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}
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}
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void CollectQueryMetrics(double total_time, size_t nq) {
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for (int i = 0; i < nq; ++i) {
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server::Metrics::GetInstance().QueryResponseSummaryObserve(total_time);
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}
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auto average_time = total_time / nq;
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server::Metrics::GetInstance().QueryVectorResponseSummaryObserve(average_time, nq);
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server::Metrics::GetInstance().QueryVectorResponsePerSecondGaugeSet(double (nq) / total_time);
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}
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void CollectFileMetrics(int file_type, size_t file_size, double total_time) {
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switch(file_type) {
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case meta::TableFileSchema::RAW:
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case meta::TableFileSchema::TO_INDEX: {
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server::Metrics::GetInstance().SearchRawDataDurationSecondsHistogramObserve(total_time);
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server::Metrics::GetInstance().RawFileSizeHistogramObserve(file_size);
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server::Metrics::GetInstance().RawFileSizeTotalIncrement(file_size);
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server::Metrics::GetInstance().RawFileSizeGaugeSet(file_size);
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break;
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}
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default: {
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server::Metrics::GetInstance().SearchIndexDataDurationSecondsHistogramObserve(total_time);
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server::Metrics::GetInstance().IndexFileSizeHistogramObserve(file_size);
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server::Metrics::GetInstance().IndexFileSizeTotalIncrement(file_size);
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server::Metrics::GetInstance().IndexFileSizeGaugeSet(file_size);
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break;
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}
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}
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}
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}
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DBImpl::DBImpl(const Options& options)
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: options_(options),
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shutting_down_(false),
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compact_thread_pool_(1, 1),
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index_thread_pool_(1, 1) {
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meta_ptr_ = DBMetaImplFactory::Build(options.meta, options.mode);
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mem_mgr_ = MemManagerFactory::Build(meta_ptr_, options_);
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if (options.mode != Options::MODE::READ_ONLY) {
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ENGINE_LOG_TRACE << "StartTimerTasks";
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StartTimerTasks();
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}
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}
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Status DBImpl::CreateTable(meta::TableSchema& table_schema) {
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return meta_ptr_->CreateTable(table_schema);
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}
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Status DBImpl::DeleteTable(const std::string& table_id, const meta::DatesT& dates) {
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//dates partly delete files of the table but currently we don't support
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ENGINE_LOG_DEBUG << "Prepare to delete table " << table_id;
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mem_mgr_->EraseMemVector(table_id); //not allow insert
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meta_ptr_->DeleteTable(table_id); //soft delete table
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//scheduler will determine when to delete table files
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TaskScheduler& scheduler = TaskScheduler::GetInstance();
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DeleteContextPtr context = std::make_shared<DeleteContext>(table_id, meta_ptr_);
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scheduler.Schedule(context);
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return Status::OK();
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}
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Status DBImpl::DescribeTable(meta::TableSchema& table_schema) {
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return meta_ptr_->DescribeTable(table_schema);
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}
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Status DBImpl::HasTable(const std::string& table_id, bool& has_or_not) {
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return meta_ptr_->HasTable(table_id, has_or_not);
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}
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Status DBImpl::AllTables(std::vector<meta::TableSchema>& table_schema_array) {
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return meta_ptr_->AllTables(table_schema_array);
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}
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Status DBImpl::GetTableRowCount(const std::string& table_id, uint64_t& row_count) {
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return meta_ptr_->Count(table_id, row_count);
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}
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Status DBImpl::InsertVectors(const std::string& table_id_,
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uint64_t n, const float* vectors, IDNumbers& vector_ids_) {
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ENGINE_LOG_DEBUG << "Insert " << n << " vectors to cache";
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auto start_time = METRICS_NOW_TIME;
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Status status = mem_mgr_->InsertVectors(table_id_, n, vectors, vector_ids_);
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auto end_time = METRICS_NOW_TIME;
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double total_time = METRICS_MICROSECONDS(start_time,end_time);
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// std::chrono::microseconds time_span = std::chrono::duration_cast<std::chrono::microseconds>(end_time - start_time);
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// double average_time = double(time_span.count()) / n;
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ENGINE_LOG_DEBUG << "Insert vectors to cache finished";
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CollectInsertMetrics(total_time, n, status.ok());
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return status;
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}
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Status DBImpl::Query(const std::string &table_id, uint64_t k, uint64_t nq,
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const float *vectors, QueryResults &results) {
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auto start_time = METRICS_NOW_TIME;
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meta::DatesT dates = {meta::Meta::GetDate()};
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Status result = Query(table_id, k, nq, vectors, dates, results);
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auto end_time = METRICS_NOW_TIME;
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auto total_time = METRICS_MICROSECONDS(start_time,end_time);
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CollectQueryMetrics(total_time, nq);
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return result;
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}
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Status DBImpl::Query(const std::string& table_id, uint64_t k, uint64_t nq,
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const float* vectors, const meta::DatesT& dates, QueryResults& results) {
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ENGINE_LOG_DEBUG << "Query by vectors";
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//get all table files from table
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meta::DatePartionedTableFilesSchema files;
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auto status = meta_ptr_->FilesToSearch(table_id, dates, files);
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if (!status.ok()) { return status; }
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meta::TableFilesSchema file_id_array;
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for (auto &day_files : files) {
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for (auto &file : day_files.second) {
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file_id_array.push_back(file);
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}
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}
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cache::CpuCacheMgr::GetInstance()->PrintInfo(); //print cache info before query
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status = QueryAsync(table_id, file_id_array, k, nq, vectors, dates, results);
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cache::CpuCacheMgr::GetInstance()->PrintInfo(); //print cache info after query
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return status;
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}
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Status DBImpl::Query(const std::string& table_id, const std::vector<std::string>& file_ids,
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uint64_t k, uint64_t nq, const float* vectors,
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const meta::DatesT& dates, QueryResults& results) {
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ENGINE_LOG_DEBUG << "Query by file ids";
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//get specified files
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std::vector<size_t> ids;
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for (auto &id : file_ids) {
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meta::TableFileSchema table_file;
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table_file.table_id_ = table_id;
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std::string::size_type sz;
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ids.push_back(std::stoul(id, &sz));
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}
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meta::TableFilesSchema files_array;
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auto status = meta_ptr_->GetTableFiles(table_id, ids, files_array);
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if (!status.ok()) {
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return status;
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}
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if(files_array.empty()) {
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return Status::Error("Invalid file id");
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}
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cache::CpuCacheMgr::GetInstance()->PrintInfo(); //print cache info before query
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status = QueryAsync(table_id, files_array, k, nq, vectors, dates, results);
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cache::CpuCacheMgr::GetInstance()->PrintInfo(); //print cache info after query
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return status;
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}
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Status DBImpl::QueryAsync(const std::string& table_id, const meta::TableFilesSchema& files,
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uint64_t k, uint64_t nq, const float* vectors,
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const meta::DatesT& dates, QueryResults& results) {
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server::TimeRecorder rc("");
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//step 1: get files to search
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ENGINE_LOG_DEBUG << "Engine query begin, index file count:" << files.size() << " date range count:" << dates.size();
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SearchContextPtr context = std::make_shared<SearchContext>(k, nq, vectors);
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for (auto &file : files) {
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TableFileSchemaPtr file_ptr = std::make_shared<meta::TableFileSchema>(file);
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context->AddIndexFile(file_ptr);
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}
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//step 2: put search task to scheduler
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TaskScheduler& scheduler = TaskScheduler::GetInstance();
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scheduler.Schedule(context);
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context->WaitResult();
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//step 3: print time cost information
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double load_cost = context->LoadCost();
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double search_cost = context->SearchCost();
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double reduce_cost = context->ReduceCost();
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std::string load_info = server::TimeRecorder::GetTimeSpanStr(load_cost);
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std::string search_info = server::TimeRecorder::GetTimeSpanStr(search_cost);
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std::string reduce_info = server::TimeRecorder::GetTimeSpanStr(reduce_cost);
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if(search_cost > 0.0 || reduce_cost > 0.0) {
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double total_cost = load_cost + search_cost + reduce_cost;
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double load_percent = load_cost/total_cost;
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double search_percent = search_cost/total_cost;
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double reduce_percent = reduce_cost/total_cost;
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ENGINE_LOG_DEBUG << "Engine load index totally cost:" << load_info << " percent: " << load_percent*100 << "%";
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ENGINE_LOG_DEBUG << "Engine search index totally cost:" << search_info << " percent: " << search_percent*100 << "%";
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ENGINE_LOG_DEBUG << "Engine reduce topk totally cost:" << reduce_info << " percent: " << reduce_percent*100 << "%";
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} else {
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ENGINE_LOG_DEBUG << "Engine load cost:" << load_info
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<< " search cost: " << search_info
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<< " reduce cost: " << reduce_info;
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}
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//step 4: construct results
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results = context->GetResult();
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rc.ElapseFromBegin("Engine query totally cost");
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return Status::OK();
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}
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void DBImpl::StartTimerTasks() {
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bg_timer_thread_ = std::thread(&DBImpl::BackgroundTimerTask, this);
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}
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void DBImpl::BackgroundTimerTask() {
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Status status;
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server::SystemInfo::GetInstance().Init();
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while (true) {
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if (shutting_down_.load(std::memory_order_acquire)){
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for(auto& iter : compact_thread_results_) {
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iter.wait();
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}
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for(auto& iter : index_thread_results_) {
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iter.wait();
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}
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ENGINE_LOG_DEBUG << "DB background thread exit";
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break;
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}
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std::this_thread::sleep_for(std::chrono::seconds(1));
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StartMetricTask();
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StartCompactionTask();
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StartBuildIndexTask();
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}
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}
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void DBImpl::StartMetricTask() {
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static uint64_t metric_clock_tick = 0;
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metric_clock_tick++;
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if(metric_clock_tick%METRIC_ACTION_INTERVAL != 0) {
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return;
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}
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ENGINE_LOG_TRACE << "Start metric task";
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server::Metrics::GetInstance().KeepingAliveCounterIncrement(METRIC_ACTION_INTERVAL);
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int64_t cache_usage = cache::CpuCacheMgr::GetInstance()->CacheUsage();
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int64_t cache_total = cache::CpuCacheMgr::GetInstance()->CacheCapacity();
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server::Metrics::GetInstance().CacheUsageGaugeSet(cache_usage*100/cache_total);
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uint64_t size;
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Size(size);
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server::Metrics::GetInstance().DataFileSizeGaugeSet(size);
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server::Metrics::GetInstance().CPUUsagePercentSet();
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server::Metrics::GetInstance().RAMUsagePercentSet();
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server::Metrics::GetInstance().GPUPercentGaugeSet();
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server::Metrics::GetInstance().GPUMemoryUsageGaugeSet();
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server::Metrics::GetInstance().OctetsSet();
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ENGINE_LOG_TRACE << "Metric task finished";
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}
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void DBImpl::StartCompactionTask() {
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static uint64_t compact_clock_tick = 0;
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compact_clock_tick++;
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if(compact_clock_tick%COMPACT_ACTION_INTERVAL != 0) {
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return;
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}
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//serialize memory data
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std::set<std::string> temp_table_ids;
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mem_mgr_->Serialize(temp_table_ids);
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for(auto& id : temp_table_ids) {
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compact_table_ids_.insert(id);
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}
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if(!temp_table_ids.empty()) {
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SERVER_LOG_DEBUG << "Insert cache serialized";
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}
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//compactiong has been finished?
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if(!compact_thread_results_.empty()) {
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std::chrono::milliseconds span(10);
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if (compact_thread_results_.back().wait_for(span) == std::future_status::ready) {
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compact_thread_results_.pop_back();
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}
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}
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//add new compaction task
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if(compact_thread_results_.empty()) {
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compact_thread_results_.push_back(
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compact_thread_pool_.enqueue(&DBImpl::BackgroundCompaction, this, compact_table_ids_));
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compact_table_ids_.clear();
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}
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}
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Status DBImpl::MergeFiles(const std::string& table_id, const meta::DateT& date,
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const meta::TableFilesSchema& files) {
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ENGINE_LOG_DEBUG << "Merge files for table " << table_id;
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meta::TableFileSchema table_file;
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table_file.table_id_ = table_id;
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table_file.date_ = date;
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Status status = meta_ptr_->CreateTableFile(table_file);
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if (!status.ok()) {
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ENGINE_LOG_ERROR << "Failed to create table: " << status.ToString();
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return status;
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}
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ExecutionEnginePtr index =
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EngineFactory::Build(table_file.dimension_, table_file.location_, (EngineType)table_file.engine_type_);
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meta::TableFilesSchema updated;
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long index_size = 0;
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for (auto& file : files) {
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auto start_time = METRICS_NOW_TIME;
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index->Merge(file.location_);
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auto file_schema = file;
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auto end_time = METRICS_NOW_TIME;
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auto total_time = METRICS_MICROSECONDS(start_time,end_time);
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server::Metrics::GetInstance().MemTableMergeDurationSecondsHistogramObserve(total_time);
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file_schema.file_type_ = meta::TableFileSchema::TO_DELETE;
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updated.push_back(file_schema);
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ENGINE_LOG_DEBUG << "Merging file " << file_schema.file_id_;
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index_size = index->Size();
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if (index_size >= options_.index_trigger_size) break;
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}
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index->Serialize();
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if (index_size >= options_.index_trigger_size) {
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table_file.file_type_ = meta::TableFileSchema::TO_INDEX;
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} else {
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table_file.file_type_ = meta::TableFileSchema::RAW;
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}
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table_file.size_ = index_size;
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updated.push_back(table_file);
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status = meta_ptr_->UpdateTableFiles(updated);
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ENGINE_LOG_DEBUG << "New merged file " << table_file.file_id_ <<
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" of size " << index->PhysicalSize() << " bytes";
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if(options_.insert_cache_immediately_) {
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index->Cache();
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}
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return status;
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}
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Status DBImpl::BackgroundMergeFiles(const std::string& table_id) {
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meta::DatePartionedTableFilesSchema raw_files;
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auto status = meta_ptr_->FilesToMerge(table_id, raw_files);
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if (!status.ok()) {
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ENGINE_LOG_ERROR << "Failed to get merge files for table: " << table_id;
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return status;
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}
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bool has_merge = false;
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for (auto& kv : raw_files) {
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auto files = kv.second;
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if (files.size() < options_.merge_trigger_number) {
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ENGINE_LOG_DEBUG << "Files number not greater equal than merge trigger number, skip merge action";
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continue;
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}
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has_merge = true;
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MergeFiles(table_id, kv.first, kv.second);
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if (shutting_down_.load(std::memory_order_acquire)){
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ENGINE_LOG_DEBUG << "Server will shutdown, skip merge action for table " << table_id;
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break;
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}
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}
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return Status::OK();
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}
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void DBImpl::BackgroundCompaction(std::set<std::string> table_ids) {
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ENGINE_LOG_TRACE << " Background compaction thread start";
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Status status;
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for (auto& table_id : table_ids) {
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status = BackgroundMergeFiles(table_id);
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if (!status.ok()) {
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ENGINE_LOG_ERROR << "Merge files for table " << table_id << " failed: " << status.ToString();
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continue;//let other table get chance to merge
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}
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if (shutting_down_.load(std::memory_order_acquire)){
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ENGINE_LOG_DEBUG << "Server will shutdown, skip merge action";
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break;
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}
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}
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meta_ptr_->Archive();
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int ttl = 1;
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if (options_.mode == Options::MODE::CLUSTER) {
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ttl = meta::D_SEC;
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}
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meta_ptr_->CleanUpFilesWithTTL(ttl);
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ENGINE_LOG_TRACE << " Background compaction thread exit";
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}
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void DBImpl::StartBuildIndexTask(bool force) {
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static uint64_t index_clock_tick = 0;
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index_clock_tick++;
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if(!force && (index_clock_tick%INDEX_ACTION_INTERVAL != 0)) {
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return;
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}
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//build index has been finished?
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if(!index_thread_results_.empty()) {
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std::chrono::milliseconds span(10);
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if (index_thread_results_.back().wait_for(span) == std::future_status::ready) {
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index_thread_results_.pop_back();
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}
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}
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//add new build index task
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if(index_thread_results_.empty()) {
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index_thread_results_.push_back(
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index_thread_pool_.enqueue(&DBImpl::BackgroundBuildIndex, this));
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}
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}
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|
|
Status DBImpl::BuildIndex(const std::string& table_id) {
|
|
bool has = false;
|
|
meta_ptr_->HasNonIndexFiles(table_id, has);
|
|
int times = 1;
|
|
|
|
while (has) {
|
|
ENGINE_LOG_DEBUG << "Non index files detected! Will build index " << times;
|
|
meta_ptr_->UpdateTableFilesToIndex(table_id);
|
|
/* StartBuildIndexTask(true); */
|
|
std::this_thread::sleep_for(std::chrono::milliseconds(std::min(10*1000, times*100)));
|
|
meta_ptr_->HasNonIndexFiles(table_id, has);
|
|
times++;
|
|
}
|
|
return Status::OK();
|
|
/* return BuildIndexByTable(table_id); */
|
|
}
|
|
|
|
Status DBImpl::BuildIndex(const meta::TableFileSchema& file) {
|
|
ExecutionEnginePtr to_index = EngineFactory::Build(file.dimension_, file.location_, (EngineType)file.engine_type_);
|
|
if(to_index == nullptr) {
|
|
ENGINE_LOG_ERROR << "Invalid engine type";
|
|
return Status::Error("Invalid engine type");
|
|
}
|
|
|
|
try {
|
|
//step 1: load index
|
|
to_index->Load(options_.insert_cache_immediately_);
|
|
|
|
//step 2: create table file
|
|
meta::TableFileSchema table_file;
|
|
table_file.table_id_ = file.table_id_;
|
|
table_file.date_ = file.date_;
|
|
table_file.file_type_ = meta::TableFileSchema::INDEX; //for multi-db-path, distribute index file averagely to each path
|
|
Status status = meta_ptr_->CreateTableFile(table_file);
|
|
if (!status.ok()) {
|
|
ENGINE_LOG_ERROR << "Failed to create table: " << status.ToString();
|
|
return status;
|
|
}
|
|
|
|
//step 3: build index
|
|
auto start_time = METRICS_NOW_TIME;
|
|
auto index = to_index->BuildIndex(table_file.location_);
|
|
auto end_time = METRICS_NOW_TIME;
|
|
auto total_time = METRICS_MICROSECONDS(start_time, end_time);
|
|
server::Metrics::GetInstance().BuildIndexDurationSecondsHistogramObserve(total_time);
|
|
|
|
//step 4: if table has been deleted, dont save index file
|
|
bool has_table = false;
|
|
meta_ptr_->HasTable(file.table_id_, has_table);
|
|
if(!has_table) {
|
|
meta_ptr_->DeleteTableFiles(file.table_id_);
|
|
return Status::OK();
|
|
}
|
|
|
|
//step 5: save index file
|
|
index->Serialize();
|
|
|
|
//step 6: update meta
|
|
table_file.file_type_ = meta::TableFileSchema::INDEX;
|
|
table_file.size_ = index->Size();
|
|
|
|
auto to_remove = file;
|
|
to_remove.file_type_ = meta::TableFileSchema::TO_DELETE;
|
|
|
|
meta::TableFilesSchema update_files = {to_remove, table_file};
|
|
meta_ptr_->UpdateTableFiles(update_files);
|
|
|
|
ENGINE_LOG_DEBUG << "New index file " << table_file.file_id_ << " of size "
|
|
<< index->PhysicalSize() << " bytes"
|
|
<< " from file " << to_remove.file_id_;
|
|
|
|
if(options_.insert_cache_immediately_) {
|
|
index->Cache();
|
|
}
|
|
|
|
} catch (std::exception& ex) {
|
|
std::string msg = "Build index encounter exception" + std::string(ex.what());
|
|
ENGINE_LOG_ERROR << msg;
|
|
return Status::Error(msg);
|
|
}
|
|
|
|
return Status::OK();
|
|
}
|
|
|
|
Status DBImpl::BuildIndexByTable(const std::string& table_id) {
|
|
std::unique_lock<std::mutex> lock(build_index_mutex_);
|
|
meta::TableFilesSchema to_index_files;
|
|
meta_ptr_->FilesToIndex(to_index_files);
|
|
|
|
Status status;
|
|
|
|
for (auto& file : to_index_files) {
|
|
status = BuildIndex(file);
|
|
if (!status.ok()) {
|
|
ENGINE_LOG_ERROR << "Building index for " << file.id_ << " failed: " << status.ToString();
|
|
return status;
|
|
}
|
|
ENGINE_LOG_DEBUG << "Sync building index for " << file.id_ << " passed";
|
|
|
|
if (shutting_down_.load(std::memory_order_acquire)){
|
|
ENGINE_LOG_DEBUG << "Server will shutdown, skip build index action for table " << table_id;
|
|
break;
|
|
}
|
|
}
|
|
|
|
return status;
|
|
}
|
|
|
|
void DBImpl::BackgroundBuildIndex() {
|
|
ENGINE_LOG_TRACE << " Background build index thread start";
|
|
|
|
std::unique_lock<std::mutex> lock(build_index_mutex_);
|
|
meta::TableFilesSchema to_index_files;
|
|
meta_ptr_->FilesToIndex(to_index_files);
|
|
Status status;
|
|
for (auto& file : to_index_files) {
|
|
status = BuildIndex(file);
|
|
if (!status.ok()) {
|
|
ENGINE_LOG_ERROR << "Building index for " << file.id_ << " failed: " << status.ToString();
|
|
return;
|
|
}
|
|
|
|
if (shutting_down_.load(std::memory_order_acquire)){
|
|
ENGINE_LOG_DEBUG << "Server will shutdown, skip build index action";
|
|
break;
|
|
}
|
|
}
|
|
|
|
ENGINE_LOG_TRACE << " Background build index thread exit";
|
|
}
|
|
|
|
Status DBImpl::DropAll() {
|
|
return meta_ptr_->DropAll();
|
|
}
|
|
|
|
Status DBImpl::Size(uint64_t& result) {
|
|
return meta_ptr_->Size(result);
|
|
}
|
|
|
|
DBImpl::~DBImpl() {
|
|
shutting_down_.store(true, std::memory_order_release);
|
|
bg_timer_thread_.join();
|
|
std::set<std::string> ids;
|
|
mem_mgr_->Serialize(ids);
|
|
}
|
|
|
|
} // namespace engine
|
|
} // namespace milvus
|
|
} // namespace zilliz
|